AI Data Engineer

AI Data Engineer- HealthTech AI

Up to $180,000 | U.S (Remote) | Full-Time

Deeprec.ai is partnering up with an AI focused HealthTech company centred around early-stage cancer detection.

This is a remote Data Engineering role focused on building and maintaining scalable pipelines that ingest, clean, and structure large, complex healthcare datasets.

What You’ll Do

• Work with Data Scientists and ML Engineers to define data needs for LLM and ML models.
• Build and maintain scalable data pipelines for large healthcare datasets.
• Ensure data quality through cleaning, validation, and monitoring.
• Design efficient data structures and schemas for model training and use.
• Source new data while ensuring compliance with healthcare regulations (e.g., HIPAA)

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience as a Data Engineer working with large-scale or big data systems such as Apache Spark
• Strong programming skills in Python, Scala, or Java.
• Experience with ETL pipelines, data warehousing, and data modelling.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and tools like Apache Spark.
• Strong problem-solving skills

Nice to Have

• Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience working with healthcare data and standards such as FHIR or HL7.
• Familiarity with machine learning concepts and LLM fine-tuning workflows.
• Experience using data orchestration tools such as Apache Airflow.

Why Join?

• Help shape the future of healthcare by building AI that improves early cancer detection and saves lives.
• Work on high-impact, real-world AI used directly in clinical settings at scale.
• Competitive salary, benefits, and flexible remote/hybrid working options.
• Join a mission-driven, fast-growing team focused on innovation and health equity.
• Continuous learning with exposure to cutting-edge AI, ML, and healthcare technologies.